Publications related to Parallel Learning in Heterogeneous Multi-Robot Swarms

Multi-robot task allocation for safe planning against stochastic hazard dynamics

This paper considers the problem of multi-robot safe mission planning in uncertain dynamic environments. This problem arises in several applications including safety-critical exploration, surveillance, and emergency rescue missions. Computation of a multi- ...

2021

The Role of the Control Framework for Continuous Teleoperation of a Brain-Machine Interface-Driven Mobile Robot

José del Rocio Millán Ruiz, Luca Tonin, Felix Christian Bauer

Despite the growing interest in brain-machine interface (BMI)-driven neuroprostheses, the translation of the BMI output into a suitable control signal for the robotic device is often neglected. In this article, we propose a novel control approach based on ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Robot skills learning with Riemannian manifolds: Leveraging geometry-awareness in robot learning, optimization and control

Noémie Laure Gwendoline Jaquier

Humans exhibit outstanding learning and adaptation capabilities while performing various types of manipulation tasks. When learning new skills, humans are able to extract important information by observing examples of a task and efficiently refine a priori ...

EPFL2020

A Distributed Source Term Estimation Algorithm for Multi-Robot Systems

Alcherio Martinoli, Faezeh Rahbar

Finding sources of airborne chemicals with mobile sensing systems finds applications in safety, security, and emergency situations related to medical, domestic, and environmental domains. Given the often critical nature of all the applications, it is impor ...

2020

An Institutional Approach to Normative Distributed Robotics for Mixed Societies of Humans and Robots

Alicja Barbara Roelofsen

We are entering the era of robots, for everyone, everywhere. The expectations of the robots being reliable, intelligent and friendly artificial creatures drive the key challenges of the state-of-the-art robotics: technological, practical and social. The la ...

EPFL2020

Measurement Scheduling for Cooperative Localization in Resource-Constrained Conditions

Qi Yan, Li Jiang

This letter studies the measurement scheduling problem for a group of

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mobile robots moving on a flat surface that are preforming cooperative localization (CL). We consider a scenario in which due to the limited on-board resources such as battery life a ...

2020

Active Improvement of Control Policies with Bayesian Gaussian Mixture Model

Sylvain Calinon, Emmanuel Pignat, Hakan Girgin, Noémie Laure Gwendoline Jaquier

Learning from demonstration (LfD) is an intuitive framework allowing non-expert users to easily (re-)program robots. However, the quality and quantity of demonstrations have a great influence on the generalization performances of LfD approaches. In this pa ...

IEEE2020

Improving robotic cooking using batch bayesian optimization

Josephine Anna Eleanor Hughes, Kai Christian Junge

With advances in the field of robotic manipulation, sensing and machine learning, robotic chefs are expected to become prevalent in our kitchens and restaurants. Robotic chefs are envisioned to replicate human skills in order to reduce the burden of the co ...

Institute of Electrical and Electronics Engineers Inc.2020

Gamified Motor Training With Tangible Robots in Older Adults: A Feasibility Study and Comparison With the Young

Pierre Dillenbourg, Friedhelm Christoph Hummel, Wafa Monia Benkaouar Johal, Maximilian Jonas Wessel, Ayberk Özgür, Jennifer Kaitlyn Olsen

Background: An increasing lifespan and the resulting change in our expectations of later life stages are dependent on a good health state. This emphasizes the importance of the development of strategies to further strengthen healthy aging. One important as ...

2020

From High-Level to Low-Level Robot Learning of Complex Tasks: Leveraging Priors, Metrics and Dynamical Systems

Nadia Barbara Figueroa Fernandez

Humans have a remarkable way of learning, adapting and mastering new manipulation tasks. With the current advances in Machine Learning (ML), the promise of having robots with such capabilities seems to be on the cusp of reality. Transferring human-level sk ...

EPFL2019

Parallel Learning in Heterogeneous Multi-Robot Swarms

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Multi-robot task allocation for safe planning against stochastic hazard dynamics

The Role of the Control Framework for Continuous Teleoperation of a Brain-Machine Interface-Driven Mobile Robot

Robot skills learning with Riemannian manifolds: Leveraging geometry-awareness in robot learning, optimization and control

A Distributed Source Term Estimation Algorithm for Multi-Robot Systems

An Institutional Approach to Normative Distributed Robotics for Mixed Societies of Humans and Robots

Measurement Scheduling for Cooperative Localization in Resource-Constrained Conditions

Active Improvement of Control Policies with Bayesian Gaussian Mixture Model

Improving robotic cooking using batch bayesian optimization

Gamified Motor Training With Tangible Robots in Older Adults: A Feasibility Study and Comparison With the Young

From High-Level to Low-Level Robot Learning of Complex Tasks: Leveraging Priors, Metrics and Dynamical Systems

From High-Level to Low-Level Robot Learning of Complex Tasks: Leveraging Priors, Metrics and Dynamical Systems

The Role of the Control Framework for Continuous Teleoperation of a Brain-Machine Interface-Driven Mobile Robot

Multi-robot task allocation for safe planning against stochastic hazard dynamics

A Distributed Source Term Estimation Algorithm for Multi-Robot Systems

Improving robotic cooking using batch bayesian optimization

An Institutional Approach to Normative Distributed Robotics for Mixed Societies of Humans and Robots

Active Improvement of Control Policies with Bayesian Gaussian Mixture Model

Robot skills learning with Riemannian manifolds: Leveraging geometry-awareness in robot learning, optimization and control

Measurement Scheduling for Cooperative Localization in Resource-Constrained Conditions

Gamified Motor Training With Tangible Robots in Older Adults: A Feasibility Study and Comparison With the Young